Thomas Bäck

Affiliations:
  • Leiden Institute of Advanced Computer Science, Netherlands


According to our database1, Thomas Bäck authored at least 324 papers between 1990 and 2022.

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Bibliography

2022
Artificial Intelligence for the Design of Symmetric Cryptographic Primitives.
Security and Artificial Intelligence, 2022

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim., 2022

Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.
IEEE Trans. Evol. Comput., 2022

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.
IEEE Trans. Evol. Comput., 2022

Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software.
IEEE Trans. Evol. Comput., 2022

Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations.
Memetic Comput., 2022

Robust subgroup discovery.
Data Min. Knowl. Discov., 2022

Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems.
CoRR, 2022

A Decision Diagram Operation for Reachability.
CoRR, 2022

Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.
CoRR, 2022

Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes.
CoRR, 2022

Reinforcement Learning Assisted Recursive QAOA.
CoRR, 2022

Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications.
CoRR, 2022

Equivariant quantum circuits for learning on weighted graphs.
CoRR, 2022

The Vision of Self-Evolving Computing Systems.
CoRR, 2022

Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points.
CoRR, 2022

Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines.
CoRR, 2022

Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace.
CoRR, 2022

A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction.
IEEE Access, 2022

An Efficient Contesting Procedure for AutoML Optimization.
IEEE Access, 2022

Non-elitist Selection Can Improve the Performance of Irace.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Saliency Can Be All You Need in Contrastive Self-supervised Learning.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data.
Proceedings of the 14th International Conference on Computer and Automation Engineering, 2022

Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Multi-point acquisition function for constraint parallel efficient multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Learning the characteristics of engineering optimization problems with applications in automotive crash.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Quantum-enhanced selection operators for evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Benchmarking and analyzing iterative optimization heuristics with IOH profiler.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient.
IEEE Trans. Evol. Comput., 2021

Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.
Swarm Evol. Comput., 2021

Differential evolution outside the box.
Inf. Sci., 2021

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.
CoRR, 2021

Lifelong Computing.
CoRR, 2021

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
CoRR, 2021

Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants.
CoRR, 2021

Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling.
CoRR, 2021

Robust subgroup discovery.
CoRR, 2021

Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
CoRR, 2021

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
CoRR, 2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.
CoRR, 2021

Temporal convolutional autoencoder for unsupervised anomaly detection in time series.
Appl. Soft Comput., 2021

Bayesian neural architecture search using a training-free performance metric.
Appl. Soft Comput., 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Efficient AutoML via Combinational Sampling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-car paint shop optimization with quantum annealing.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Optimally Weighted Ensembles for Efficient Multi-objective Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

The Unreasonable Effectiveness of the Final Batch Normalization Layer.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Solving the Shipment Rerouting Problem with Quantum Optimization Techniques.
Proceedings of the Computational Logistics - 12th International Conference, 2021

Leveraging benchmarking data for informed one-shot dynamic algorithm selection.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Is there anisotropy in structural bias?
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A new acquisition function for robust Bayesian optimization of unconstrained problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Sequential experimentation by evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Explorative data analysis of time series based algorithm features of CMA-ES variants.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Expressivity of parameterized and data-driven representations in quality diversity search.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tabu-Driven Quantum Neighborhood Samplers.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Requirements towards optimizing analytics in industrial processes.
Proceedings of the 12th International Conference on Ambient Systems, 2021

Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.
Proceedings of the International Conference on 3D Vision, 2021

2020
The significance of bug report elements.
Empir. Softw. Eng., 2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.
CoRR, 2020

A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.
CoRR, 2020

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders.
CoRR, 2020

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling.
CoRR, 2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.
CoRR, 2020

AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.
CoRR, 2020

Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method.
CoRR, 2020

Benchmarking discrete optimization heuristics with IOHprofiler.
Appl. Soft Comput., 2020

Cluster-based Kriging approximation algorithms for complexity reduction.
Appl. Intell., 2020

Towards Data-driven Services in Vehicles.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Neural Network Design: Learning from Neural Architecture Search.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Can Compact Optimisation Algorithms Be Structurally Biased?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Imbalanced Classification by Anomaly Detection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Designing Air Flow with Surrogate-Assisted Phenotypic Niching.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On the Performance of Oversampling Techniques for Class Imbalance Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Feature Visualization for 3D Point Cloud Autoencoders.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Comparison of deep learning and hand crafted features for mining simulation data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Norm Loss: An efficient yet effective regularization method for deep neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Deep Dive Into Exploring the Preference Hypervolume.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Integrated vs. sequential approaches for selecting and tuning CMA-ES variants.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A modular hybridization of particle swarm optimization and differential evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Time Series Encodings with Temporal Convolutional Networks.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

An Analysis of Phenotypic Diversity in Multi-solution Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.
Swarm Evol. Comput., 2019

Efficient computation of expected hypervolume improvement using box decomposition algorithms.
J. Glob. Optim., 2019

Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 2019

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.
CoRR, 2019

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning.
CoRR, 2019

Automated Machine Learning for Short-term Electric Load Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Hyperparameter Optimisation for Improving Classification under Class Imbalance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks.
Proceedings of the 19th Conference Information Technologies, 2019

Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019

Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Online selection of CMA-ES variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Modeling user selection in quality diversity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Bayesian performance analysis for black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Solving optimization problems with high conditioning by means of online whitening.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Automatic Configuration of Deep Neural Networks with EGO.
CoRR, 2018

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
CoRR, 2018

Identifying flight delay patterns using diverse subgroup discovery.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Towards an Adaptive CMA-ES Configurator.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Prototype Discovery Using Quality-Diversity.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Designing Ships Using Constrained Multi-objective Efficient Global Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

A Novel Uncertainty Quantification Method for Efficient Global Optimization.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Learning Fluid Flows.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-fidelity surrogate model approach to optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A new foraging-based algorithm for online scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ranking empirical cumulative distribution functions using stochastic and pareto dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Algorithms for Simulation-Based Optimization Problems.
Proceedings of the European Conference on Modelling and Simulation, 2018

First Results Solving Arbitrarily Structured Maximum Independent Set Problems Using Quantum Annealing.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Dynamic vehicle routing with time windows in theory and practice.
Nat. Comput., 2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017

Artificial Intelligence and Data Science in the Automotive Industry.
CoRR, 2017

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets.
Appl. Soft Comput., 2017

A new acquisition function for Bayesian optimization based on the moment-generating function.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning.
Proceedings of the Quantum Technology and Optimization Problems, 2017

A multi-method simulation of a high-frequency bus line.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Reconstructing fixed time traffic light cycles by camera data analytics.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Sequential experimentation by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Algorithm configuration data mining for CMA evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Time complexity reduction in efficient global optimization using cluster kriging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hypervolume Indicator Gradient Ascent Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Online anomaly detection on the webscope S5 dataset: A comparative study.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 2016

Multi-objective inventory routing with uncertain demand using population-based metaheuristics.
Integr. Comput. Aided Eng., 2016

Evolving the structure of Evolution Strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A framework for evaluating meta-models for simulation-based optimisation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Online selection of surrogate models for constrained black-box optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Analysis and Visualization of Missing Value Patterns.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

SMS-EMOA with multiple dynamic reference points.
Proceedings of the 12th International Conference on Natural Computation, 2016

Preference-based multiobjective optimization using truncated expected hypervolume improvement.
Proceedings of the 12th International Conference on Natural Computation, 2016

Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fuzzy clustering for Optimally Weighted Cluster Kriging.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Truncated expected hypervolume improvement: Exact computation and application.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Balancing risk and expected gain in kriging-based global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Equality constraint handling for surrogate-assisted constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Local subspace-based outlier detection using global neighbourhoods.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evol. Comput., 2015

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control.
CoRR, 2015

Efficient multi-criteria optimization on noisy machine learning problems.
Appl. Soft Comput., 2015

Comparing a Weiszfeld's-Based Procedure and (1+1)-es for Solving the Planar Single-Facility Location-Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

A New Repair Method For Constrained Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.
Proceedings of the EVOLVE, 2015

Towards robustness optimization of complex networks based on redundancy backup.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Reducing complexity in many objective optimization using community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

User-derived mutation in highly constrained Truck Loading Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
CoRR, 2014

Mirrored orthogonal sampling with pairwise selection in evolution strategies.
Proceedings of the Symposium on Applied Computing, 2014

Power Distribution Network Reconfiguration by Evolutionary Integer Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Introduction to evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Contemporary Evolution Strategies
Natural Computing Series, Springer, ISBN: 978-3-642-40136-7, 2013

Mixed Integer Evolution Strategies for Parameter Optimization.
Evol. Comput., 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
CoRR, 2013

Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Learning-Guided Exploration in Airfoil Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Novelty and interestingness measures for design-space exploration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Academic education of software engineering practices: towards planning and improving capstone courses based upon intensive coaching and team routines.
Proceedings of the 26th International Conference on Software Engineering Education and Training, 2013

2012
What is the value of your software?
Proceedings of the Third International Workshop on Managing Technical Debt, 2012

A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Using the uncertainty handling CMA-ES for finding robust optima.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

On the log-normal self-adaptation of the mutation rate in binary search spaces.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolutionary strategies for identification and validation of material model parameters for forming simulations.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES.
Evol. Comput., 2010

Exploiting Overlap When Searching for Robust Optima.
Proceedings of the Parallel Problem Solving from Nature, 2010

An Archive Maintenance Scheme for Finding Robust Solutions.
Proceedings of the Parallel Problem Solving from Nature, 2010

Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Experimental optimization by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Niching with derandomized evolution strategies in artificial and real-world landscapes.
Nat. Comput., 2009

How to Do Recombination in Evolution Strategies: An Empirical Study.
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

On the limitations of adaptive resampling in using the student's t-test evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization.
Proceedings of the Algorithmic Bioprocesses, 2009

2008
Evolutionary algorithms for real world applications [Application Notes].
IEEE Comput. Intell. Mag., 2008

Mixed-Integer Evolution Strategies with Dynamic Niching.
Proceedings of the Parallel Problem Solving from Nature, 2008

Niche Radius Adaptation with Asymmetric Sharing.
Proceedings of the Parallel Problem Solving from Nature, 2008

A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Performance analysis of derandomized evolution strategies in quantum control experiments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolutionary algorithms for automated drug design towards target molecule properties.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolution strategies: basic introduction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning.
Proceedings of the Applications of Evolutionary Computing, 2008

On the evolution of laser pulses under a dynamic Quantum Control environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Computing and the natural sciences at CiE 2005.
Theor. Comput. Sci., 2007

DNA computing of solutions to knapsack problems.
Biosyst., 2007

Gaining Insights into Laser Pulse Shaping by Evolution Strategies.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

On the scalability of evolution strategies in the optimization of dynamic molecular alignment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

The second harmonic generation case-study as a gateway for es to quantum control problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Performance analysis of niching algorithms based on derandomized-ES variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Classification of Cell Fates with Support Vector Machine Learning.
Proceedings of the Evolutionary Computation, 2007

Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis.
Proceedings of the Applications of Evolutinary Computing, 2007

The application of evolutionary multi-criteria optimization to dynamic molecular alignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-Adaptive Niching CMA-ES with Mahalanobis Metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolution Strategies for Laser Pulse Compression.
Proceedings of the Artificial Evolution, 2007

2006
Mining a Chemical Database for Fragment Co-occurrence: Discovery of "Chemical Clichés".
J. Chem. Inf. Model., 2006

The Molecule Evoluator. An Interactive Evolutionary Algorithm for the Design of Drug-Like Molecules.
J. Chem. Inf. Model., 2006

Substructure Mining Using Elaborate Chemical Representation.
J. Chem. Inf. Model., 2006

Niche Radius Adaptation in the CMA-ES Niching Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Mixed-Integer NK Landscapes.
Proceedings of the Parallel Problem Solving from Nature, 2006

Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

The complete-basis-functions parameterization in ES and its application to laser pulse shaping.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis.
Proceedings of the Applications of Evolutionary Computing, 2006

On Interactive Evolution Strategies.
Proceedings of the Applications of Evolutionary Computing, 2006

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Evolutionary Algorithms in Drug Design.
Nat. Comput., 2005

Using Genetic Algorithms to Evolve Behavior in Cellular Automata.
Proceedings of the Unconventional Computation, 4th International Conference, 2005

Reliable Hierarchical Clustering with the Self-organizing Map.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Niching in evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Dynamic niching in evolution strategies with covariance matrix adaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Niching in Evolution Strategies and Its Application to Laser Pulse Shaping.
Proceedings of the Artificial Evolution, 2005

2004
Preface.
Nat. Comput., 2004

Industrial Optimization by Evolution Strategies: A Bioinspired Optimization Algorithm.
Informatica (Slovenia), 2004

Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems.
J. Heuristics, 2004

Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm.
Proceedings of the Unconventional Programming Paradigms, 2004

Evolving Transition Rules for Multi Dimensional Cellular Automata.
Proceedings of the Cellular Automata, 2004

2003
An analysis of the behavior of simplified evolutionary algorithms on trap functions.
IEEE Trans. Evol. Comput., 2003

Combining and Comparing Cluster Methods in a Receptor Database.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Multi-criteria Airfoil Design with Evolution Strategies.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Adaptive business intelligence based on evolution strategies: some application examples of self-adaptive software.
Inf. Sci., 2002

Evolutionary Computation: A Guided Tour.
Bull. EATCS, 2002

Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation.
Proceedings of the Parallel Problem Solving from Nature, 2002

Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction.
Proceedings of the Parallel Problem Solving from Nature, 2002

Metamodel-Assisted Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2002

Effects of Tax and Evolution in an Artificial Society.
Proceedings of the 6th Joint Conference on Information Science, 2002

Multi Objective Airfoil Design Using Single Parent Populations.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Thresholding-a selection operator for noisy ES.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Theory of Genetic Algorithms.
Proceedings of the Current Trends in Theoretical Computer Science, 2001

2000
An Empirical Study on GAs "Without Parameters".
Proceedings of the Parallel Problem Solving from Nature, 2000

A Distributed Resource Evolutionary Algorithm Machine (DREAM).
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Improved Evolutionary Algorithms for Scheduling Problems.
Proceedings of the German-Argentinian Workshop on Information Technology, 1999

Cross-fertilization between evolutionary computation and DNA-based computing.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Generalizations of intermediate recombination in evolution strategies.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Robust design of multilayer optical coatings by means of evolutionary algorithms.
IEEE Trans. Evol. Comput., 1998

An Overview of Parameter Control Methods by Self-Adaption in Evolutionary Algorithms.
Fundam. Informaticae, 1998

A Superior Evolutionary Algorithm for 3-SAT.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
Evolutionary computation: comments on the history and current state.
IEEE Trans. Evol. Comput., 1997

Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies.
Evol. Comput., 1997

Evolutionary computation: Toward a new philosophy of machine intelligence.
Complex., 1997

1996
Refueling of a Nuclear Power Plant: Comparison of a Naive and a Specialized Mutation Operator.
Proceedings of the Parallel Problem Solving from Nature, 1996

Modeling Urban Growth by Cellular Automata.
Proceedings of the Parallel Problem Solving from Nature, 1996

Intelligent Mutation Rate Control in Canonical Genetic Algorithms.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Evolutionary Computation: An Overview.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary Algorithms Support Refueling of Pressurized Water Reactors.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms.
Oxford University Press, ISBN: 978-0-19-509971-3, 1996

1995
Generalized Convergence Models for Tournament- and (mu, lambda)-Selection.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

A Comparative Study of a Penalty Function, a Repair Heuristic and Stochastic Operators with the Set-Covering Problem.
Proceedings of the Artificial Evolution, European Conference, 1995

Evolution Strategies: An Alternative Evolutionary Algorithm.
Proceedings of the Artificial Evolution, European Conference, 1995

1994
Evolutionary algorithms in theorie and practice.
PhD thesis, 1994

Book Review: Proceedings of the Fifth International Conference on Genetic Algorithms.
Evol. Comput., 1994

The zero/one multiple knapsack problem and genetic algorithms.
Proceedings of the 1994 ACM Symposium on Applied Computing, 1994

Evolution Strategies on Noisy Functions: How to Improve Convergence Properties.
Proceedings of the Parallel Problem Solving from Nature, 1994

Parallel Optimization of Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1994

An Evolutionary Heuristic for the Maximum Independent Set Problem.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Evolution Strategies Applied to Perturbed Objective Functions.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Order Statistics for Convergence Velocity Analysis of Simplified Evolutionary Algorithms.
Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

An Evolutionary Approach to Combinatorial Optimization Problems.
Proceedings of the ACM 22rd Annual Computer Science Conference on Scaling up: Meeting the Challenge of Complexity in Real-World Computing Applications, 1994

1993
An Overview of Evolutionary Algorithms for Parameter Optimization.
Evol. Comput., 1993

Optimal Mutation Rates in Genetic Search.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

An Overview of Evolutionary Computation.
Proceedings of the Machine Learning: ECML-93, 1993

1992
Künstliche Evolution - eine intelligente Problemlösungsstrategie?
Künstliche Intell., 1992

The Interaction of Mutation Rate, Selection, and Self-Adaptation Within a Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature 2, 1992

1991
A Survey of Evolution Strategies.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

Extended Selection Mechanisms in Genetic Algorithms.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
Genetic Algorithms and Evolution Strategies - Similarities and Differences.
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990


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